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What is Data cleaning?

Data cleaning is a part of the data cleansing process. It is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. When combining multiple data sources, data can easily be duplicated or mislabelled. If data is incorrect, outcomes and algorithms are unreliable, even though they may look correct. the exact steps in the data cleaning process will vary from dataset to dataset. Cleaned data has been checked and corrected for errors and inconsistencies, making it more accurate and dependable than the original unprocessed data.

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